Modeling and Synchronous Optimization of Pump Turbine Governing System Using Sparse Robust Least Squares Support Vector Machine and Hybrid Backtracking Search Algorithm

Modeling and Synchronous Optimization of Pump Turbine Governing System Using Sparse Robust Least Squares Support Vector Machine and Hybrid Backtracking Search Algorithm

In view of the complex and changeable operating environment of pumped storage power stations and the noise and outliers in the modeling data, this study proposes a sparse robust least squares support vector machine (LSSVM) model based on the hybrid backtracking search algorithm for the model identif...

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Bibliographic Details
Main Authors: Chu Zhang, Chaoshun Li, Tian Peng, Xin Xia, Xiaoming Xue, Wenlong Fu, Jianzhong Zhou
Format: Article
Language:English
Published: MDPI AG 2018-11-01
Series:Energies
Subjects:
pump turbine governing system
model identification
sparse robust least squares support vector machine
synchronous optimization
hybrid backtracking search algorithm
Online Access:https://www.mdpi.com/1996-1073/11/11/3108

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https://www.mdpi.com/1996-1073/11/11/3108

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